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Zekavat SM, Jorshery SD, Shweikh Y, Horn K, Rauscher FG, Sekimitsu S, Kayoma S, Ye Y, Raghu V, Zhao H, Ghassemi M, Elze T, Segrè AV, Wiggs JL, Scholz M, Priore LD, Wang JC, Natarajan P, Zebardast N. Insights into human health from phenome- and genome-wide analyses of UK Biobank retinal optical coherence tomography phenotypes. medRxiv 2023:2023.05.16.23290063. [PMID: 37292770 PMCID: PMC10246137 DOI: 10.1101/2023.05.16.23290063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The human retina is a complex multi-layered tissue which offers a unique window into systemic health and disease. Optical coherence tomography (OCT) is widely used in eye care and allows the non-invasive, rapid capture of retinal measurements in exquisite detail. We conducted genome- and phenome-wide analyses of retinal layer thicknesses using macular OCT images from 44,823 UK Biobank participants. We performed phenome-wide association analyses, associating retinal thicknesses with 1,866 incident ICD-based conditions (median 10-year follow-up) and 88 quantitative traits and blood biomarkers. We performed genome-wide association analyses, identifying inherited genetic markers which influence the retina, and replicated our associations among 6,313 individuals from the LIFE-Adult Study. And lastly, we performed comparative association of phenome- and genome- wide associations to identify putative causal links between systemic conditions, retinal layer thicknesses, and ocular disease. Independent associations with incident mortality were detected for photoreceptor thinning and ganglion cell complex thinning. Significant phenotypic associations were detected between retinal layer thinning and ocular, neuropsychiatric, cardiometabolic and pulmonary conditions. Genome-wide association of retinal layer thicknesses yielded 259 loci. Consistency between epidemiologic and genetic associations suggested putative causal links between thinning of the retinal nerve fiber layer with glaucoma, photoreceptor segment with AMD, as well as poor cardiometabolic and pulmonary function with PS thinning, among other findings. In conclusion, retinal layer thinning predicts risk of future ocular and systemic disease. Furthermore, systemic cardio-metabolic-pulmonary conditions promote retinal thinning. Retinal imaging biomarkers, integrated into electronic health records, may inform risk prediction and potential therapeutic strategies.
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Affiliation(s)
- Seyedeh Maryam Zekavat
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saman Doroodgar Jorshery
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Departments of Computer Science/Medicine, University of Toronto, Toronto, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yusrah Shweikh
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Germany and Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
| | - Franziska G. Rauscher
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Germany and Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
| | | | - Satoshi Kayoma
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yixuan Ye
- Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA
| | - Vineet Raghu
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hongyu Zhao
- Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA
- School of Public Health, Yale University, New Haven, CT, USA
| | - Marzyeh Ghassemi
- Departments of Computer Science/Medicine, University of Toronto, Toronto, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
- Department of Computer Science and Electrical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tobias Elze
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Ayellet V. Segrè
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Janey L. Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Germany and Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
| | - Lucian Del Priore
- Department of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, USA
| | - Jay C. Wang
- Department of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, USA
- Northern California Retina Vitreous Associates, Mountain View, CA
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nazlee Zebardast
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
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Chiosi F, Campagna G, Rinaldi M, Manzi G, dell'Omo R, Fiorentino G, Toro M, Tranfa F, D'Andrea L, Rejdak M, Costagliola C. Optical Coherence Tomography Angiography Analysis of Vessel Density Indices in Early Post-COVID-19 Patients. Front Med (Lausanne) 2022; 9:927121. [PMID: 35836940 PMCID: PMC9273855 DOI: 10.3389/fmed.2022.927121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/30/2022] [Indexed: 11/26/2022] Open
Abstract
Purpose A hypercoagulable state has been reported to cause potential sight-threatening ischemia in patients suffering from Coronavirus disease 2019 (COVID-19). This study aimed to determine whether vessel density (VD), as measured by optical coherence tomography angiography (OCT-A), has insights into retinal and choriocapillaris vascular changes in patients affected by SARS-CoV-2 infection. Methods Hundred and fifty two patients positive for SARS-CoV-2 infection were enrolled in this observational, retrospective, controlled study. A control group of 60 healthy subjects was selected for statistical comparisons. Raw OCT and OCT-A data were exported and 3D datasets were analyzed to determine VD. Results Hundred and forty eyes (92.1%) were included for final analysis. The VD of the superficial capillary plexus (SCP) did not differ between the two groups. The mean VD of the deep capillary plexus (DCP) and the choriocapillaris (CC) was significantly lower in the foveal sector of the COVID-19 group compared to healthy controls. Within the post-COVID-19 group, the lowest DCP and CC foveal VD values were recorded in patients treated with antiviral therapy; no differences were observed among COVID-19 patients with other comorbidities (hypertension, diabetes, thyroid disease) or taking antiplatelet therapy. DCP and CC foveal VD were significantly lower in patients hospitalized in an intensive care unit (ICU) than asymptomatic patients. Conclusion Foveal vessel density at the level of DCP and CC was reduced in post-COVID-19 patients. Further studies evaluating these changes over time will be needed to corroborate the hypothesis of a microvascular retinal impairment in individuals who have recently recovered from SARS-CoV-2 infection.
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Affiliation(s)
- Flavia Chiosi
- Department of Ophthalmology, Azienda Ospedaliera dei Colli–Ospedale Monaldi, Naples, Italy
- *Correspondence: Flavia Chiosi
| | - Giuseppe Campagna
- Department of Medical-Surgical Sciences and Translational Medicine, University of Rome “Sapienza”, Rome, Italy
| | - Michele Rinaldi
- Department of Ophthalmology, Università della Campania Luigi Vanvitelli, Naples, Italy
| | - Gianluigi Manzi
- Department of Ophthalmology, Azienda Ospedaliera dei Colli–Ospedale Monaldi, Naples, Italy
| | - Roberto dell'Omo
- Department of Medicine and Health Science “V. Tiberio”, University of Molise, Campobasso, Italy
| | - Giuseppe Fiorentino
- Respiratory semi-intensive Care Unit (UTSIR) COVID, Azienda Ospedaliera dei Colli–D. Cotugno, Naples, Italy
| | - Mario Toro
- Department of Ophthalmology, Università degli Studi Federico II, Naples, Italy
| | - Fausto Tranfa
- Department of Ophthalmology, Università degli Studi Federico II, Naples, Italy
| | - Luca D'Andrea
- Department of Ophthalmology, Università degli Studi Federico II, Naples, Italy
| | - Magdalena Rejdak
- Department of Ophthalmology, University Hospital of Zurich, Zurich, Switzerland
| | - Ciro Costagliola
- Department of Ophthalmology, Università degli Studi Federico II, Naples, Italy
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